SRSukalyan Royinsukalyanroy.hashnode.dev·Jun 20 · 12 min readAdding Rank Fusion to my RAG retrieval logicIn the previous part, we explored Agentic RAG as an evolution of the traditional Retrieval-Augmented Generation pipeline:https://sukalyanroy.hashnode.dev/discovering-rags-2-what-is-agentic-rag A littl00
SRSukalyan Royinsukalyanroy.hashnode.dev·Jun 6 · 11 min readFrom Tokens to TreesWe’ve all used so many programming languages over the years. Who makes them? And how are they maintained? Was the Compiler Design class in university a complete waste of time? Let’s find out. This pro00
SRSukalyan Royinsukalyanroy.hashnode.dev·May 30 · 12 min readWhat is Agentic RAG? Where we are now In the previous posts, we went over the basic ideas of a RAG, and some ways to optimize our prompting so that we can use existing solutions. The next step is to try and recreate such 00
SRSukalyan Royinsukalyanroy.hashnode.dev·May 16 · 12 min readHow I Use AI Coding Agents Without Burning Tokens or Trusting Them BlindlyIn the last post about RAGs we went through some basic ways of finding similarities in texts, but it's quite obvious that it's a far cry from all the sophisticated ways in which AI works right now. So00
SRSukalyan Royinsukalyanroy.hashnode.dev·May 9 · 13 min readTransforming Chatbot Interactions with Retrieval Augmented GenerationSince ChatGPT was first unveiled, one of my persistent doubts has been how it will work in applications requiring proprietary or post-2022 data. One approach to solve this is to make what's called a R00
